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Description
  • V tomto článku je navržena plně automatizovaná metoda sloužící k lokalizaci buněk ve snímcích tkání. Metoda je založena na principu adaptivního prahování. Zatímco obecná metoda adaptivního prahování vyžaduje ke svému spuštění určitý počet vstupů, nová metoda je schopna tyto si parametry vhodně nastavit sama. Po odprahování výsledný binární obraz podléhá algoritmu %22region labeling%22. Následně je každá nalezená buňka v obraze prověřena a otestována, zda je vůbec vhodná pro zařazení k dalším výpočtům. Na závěr je každá buňka opatřena značkou, která identifikuje polohu této buňky v rámci celého snímku tkáně. Vhodnost této metody již byla úspěšně prověřena na 3D snímcích tkání tlustého střeva. (cs)
  • In this paper, an automatic method for tissue cell localization is proposed. It is based on the principle of adaptive thresholding. While the general adaptive thresholding method requires setting of some parameters by user, a novel algorithm chooses suitable thresholds and image division on its own. The resulting binary image is then submitted to a region labeling procedure. Each individual region is inspected and tested for suitability for further processing. Finally, each region is marked by one marker. Feasibility of this approach has already been successfully tested on 3D colon tissue images.
  • In this paper, an automatic method for tissue cell localization is proposed. It is based on the principle of adaptive thresholding. While the general adaptive thresholding method requires setting of some parameters by user, a novel algorithm chooses suitable thresholds and image division on its own. The resulting binary image is then submitted to a region labeling procedure. Each individual region is inspected and tested for suitability for further processing. Finally, each region is marked by one marker. Feasibility of this approach has already been successfully tested on 3D colon tissue images. (en)
Title
  • Směrem k plně automatizované metodě segmentace tkání (cs)
  • Towards a Fully Automated Tissue Cell Segmentation Method
  • Towards a Fully Automated Tissue Cell Segmentation Method (en)
skos:prefLabel
  • Směrem k plně automatizované metodě segmentace tkání (cs)
  • Towards a Fully Automated Tissue Cell Segmentation Method
  • Towards a Fully Automated Tissue Cell Segmentation Method (en)
skos:notation
  • RIV/00216224:14330/04:00010272!RIV08-AV0-14330___
http://linked.open.../vavai/riv/strany
  • 430-434
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA5004306), P(IBS5004010), Z(MSM 143300002)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 590511
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/04:00010272
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Biomedical image segmentation; Adaptive thresholding; Gradient based thresholding; Region labeling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DE174893F773]
http://linked.open...v/mistoKonaniAkce
  • September 6-8, 2004, Marbella, Spain
http://linked.open...i/riv/mistoVydani
  • Anaheim, Calgary, Zurich
http://linked.open...i/riv/nazevZdroje
  • Visualization, Imaging, and Image Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Svoboda, David
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACTA Press
https://schema.org/isbn
  • 0-88986-454-3
http://localhost/t...ganizacniJednotka
  • 14330
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